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Can we speed the testing, implementation and spread of management innovations in a systematic way to also contribute to scientific knowledge? Researchers and implementers have developed an approach to test and revise a local version of an innovation during its implementation. The chapter starts with a case example of an application of this combination of implementation and quality improvement sciences and practices (improve-mentation). It then summarizes four examples of this approach so as to help understand what improve-mentation is and how it is different from traditional quality improvement and traditional implementation of evidence-based practices. It considers gaps in knowledge that are hindering both more use of improve-mentation to generate scientific knowledge about spread and implementation, as well as more use of improve-mentation by health care service organizations and researchers. It closes by proposing fruitful research and development that can address these knowledge gaps to speed the implementation, sustainment and spread of care and management innovations.

The purpose of this paper is to examine whether threat assessment, an intelligence-led policing (ILP) tool, can prevent mass public shootings.

In order to gauge the potential effectiveness of this ILP tool, the authors conduct a retrospective analysis of 278 mass public shootings that occurred in the USA between 1966 and 2016. This retrospective analysis allows us to determine how successful threat assessment protocols could be in preventing mass public shootings by examining how successful this tool would have been in identifying the offenders in our data.

The results show that threat assessment has the potential to be an effective tool in the ILP arsenal to identify and prevent impending mass public shootings. However, our results also point to several obstacles for the effective implementation of this ILP tool. The underreporting of threats and using the content of threats and characteristics of threateners are problematic in correctly assigning risk. The authors make suggestions for how to overcome these obstacles.

This study makes several contributions to the intelligence-led policing and mass murder field. This is the first study to test the potential effectiveness of an intelligence-led policing tool to prevent mass public shootings. Additionally, this is one of the first studies to examine the leaks, types, context and follow-though of threats made by mass public shooters in the United States. Consequently, it provides unique information on the foreshowing behaviors of mass public shooters.

The role of list price is often discussed in a narrative describing sellers’ preferences or sellers’ price expectations. This paper aims to investigate a set of list price strategies that real estate brokers have available to influence the outcome of the sale, which may be many times self-serving.

By analyzing real estate brokers’ arguments on the choice of the list price level, a couple of hypotheses are formulated with regard to different expected outcomes that depend on the list price. This study empirically tests two hypotheses for the underlying incentives in the choice of list price from the real estate broker’s perspective: lower list price compared to market value leads to the higher sales price, lower list price compared to market value leads to a quicker sale. To investigate the two hypotheses, this paper adopts different methodological frameworks: H1 is tested by running a classical hedonic model, while H2 is tested through a duration model. This study further tests the hypotheses by splitting the full sample into two different price segments: above and below the median list price.

The results show that H1 is rejected for the full sample and for the two sub-samples. That is, contrary to the common narrative among brokers that underpricing leads to a higher sales price, underpricing lower sales price. H2, however, receives support for the full sample and for the two sub-samples. The latter result points to that brokers may be tempted to recommend a list price significantly below the expected selling price to minimize their effort while showing a high turnover of apartments.

Although there are a large number of previous studies analyzing list price strategies in the housing market, this paper is one of the few empirical studies that address the effect of list price choice level on auction outcomes of non-distressed housing sales.

Developing residential units is crucial in the socio-economic development of a country. The investor faces not only uncertain transaction price (price risk), but also uncertainties about the marketing period risk. Predicting when the incurred money is being realized is difficult because of the imperfect nature of the real estate market. Thus, the purpose of this study is to analyze the variables that explain the time on the market (TOM) of housing units, identifying the relationships in-between and the effects on TOM of residential properties.

Following a multi-stage sampling process, a random sample of 120 housing units was selected. Data were collected using a self-administered questionnaire. The questionnaire contained 57 variables that can affect TOM. Semi-structured interviews were conducted to confirm some of the data and information on residential units from the developers. Direct observations were conducted to verify certain physical attributes and, finally, they were comprehensively analyzed using quantitative analysis techniques in SPSS 16.0 Statistical package.

Results confirmed that lesser advertising prices, attractive environment, proximity to the city center and proper shape of lands reduce the TOM. Similarly, higher prices, longer distance to the city center and irregular shape of land increase the TOM. The results strengthen the necessity of a comfortable environment appropriate to live, probably with greenery or water bodies, which is a key influential factor that reduces the TOM in Sri Lanka.

wIn the Sri Lankan context, there are few contributions to the real estate literature in this regard. Many scholars have concentrated on physical and economic characteristics, whereas this research adds the environmental factors. Therefore, this research makes a significant contribution to the body of knowledge in this area, as it puts more attention on including several variables, as well as newly introduced variables as determinants. Consumers can apply the research findings to assess the relative importance of housing attributes and services which they perceive most valuable, and then to make their purchase decisions. The findings also contribute to the investigations of the behavior of housing attributes and enable knowing as to what factors are to be promoted and what to be omitted to gain a shorter TOM.

One of the major issues faced by academic health science centers (AHSCs) is the need for mechanisms to foster the integration of research, clinical, and educational activities to achieve the vision of evidence-informed decision making (EIDM) and optimal client care. The paper aims to discuss this issue.

This paper synthesizes literature on organizational learning and collaboration, evidence-informed organizational decision making, and learning-based organizations to derive insights concerning the nature of effective workplace learning in AHSCs.

An evidence-informed model of collaborative workplace learning is proposed to aid the alignment of research, clinical, and educational functions in AHSCs. The model articulates relationships among AHSC academic functions and sub-functions, cross-functional activities, and collaborative learning processes, emphasizing the importance of cross-functional activities in enhancing collaborative learning processes and optimizing EIDM and client care. Cross-functional activities involving clinicians, researchers, and educators are hypothesized to be a primary vehicle for integration, supported by a learning-oriented workplace culture. These activities are distinct from interprofessional teams, which are clinical in nature. Four collaborative learning processes are specified that are enhanced in cross-functional activities or teamwork: co-constructing meaning, co-learning, co-producing knowledge, and co-using knowledge.

The model provides an aspirational vision and insight into the importance of cross-functional activities in enhancing workplace learning. The paper discusses the conceptual and empirical basis to the model, its contributions and limitations, and implications for AHSCs.

The model’s potential utility for health care is discussed, with implications for organizational culture and the promotion of cross-functional activities.

In this paper, the development of relative guidance and control algorithms for proximity operations to satellite in elliptical orbit are presented. The paper aims to discuss these issues.

The process of autonomous proximity is divided into three phases: proximity manoeuvre, flyaround manoeuvre, and hovering manoeuvre. The characteristics of the three phases are analyzed. Different guidance algorithms are based on using the analytical closed-form solution of the Tschauner-Hempel (TH) equations that is completely explicit in time. Lastly, the linear quadratic regulators control algorithm based on the linearized TH equations is developed to minimize the initial state errors in the last phase.

This paper defines three phases in the satellite proximity operations and develops the guidance and control algorithms. Then, the relative guidance and control algorithms are illustrated through different numerical examples. And the results demonstrate the effectiveness and simplicity of using a TH model in autonomous proximity.

The findings indicate that a TH model is clearly effective at estimating the relative position and velocity and controlling the relative trajectory. In addition, this model is not restricted to a circular orbit, but it can be used as well for an elliptical orbit. Furthermore, by using this model, simple guidance and control algorithms are developed to approach, flyaround and hover from a target satellite.

Based on the guidance algorithms, the manoeuvre-flight period can be set in accordance with the mission requirement. Flyaround with different types of trajectory and a feedback control scheme to achieve stable hovering state are studied. Consequently, this proposed guidance algorithms can effectively implement guidance and control for satellite proximity operations.